exploring the systematic uncertainties of sne ia

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Exploring the systematic uncertainties of SNe Ia Shuang Wang Northeastern University

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Exploring the systematic uncertainties of SNe Ia. Shuang Wang Northeastern University. Outline. 1. Introduction 2. Previous Works 3. Current Works 4. Summary. Introduction. systematic uncertainties of SNe Ia. errors in photometry, calibration and identification of SNe Ia - PowerPoint PPT Presentation

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Exploring the systematic uncertainties of SNe Ia

Shuang Wang

Northeastern University

Outline

• 1. Introduction

• 2. Previous Works

• 3. Current Works

• 4. Summary

Introduction

systematic uncertainties of SNe Ia

• errors in photometry, calibration and identification of SNe Ia

• host-galaxy extinction

• gravitational lensing

• intrinsic variation of physical properties of SNe Ia

Lightcurve fitter modelChi^2 Statistics

Supernova Training(Using all SNe)

Light-curve FittingFor one SN

cosmology Information

(μ, α, β)

Light-curve Fitting

• 1) rest-frame model mags + k-corrections: Mlcs2k2 (Jha,Riess,Kirshner ApJ 659 122 2007)

• 2) rest-frame spectral model: SALT2 (Guy et. al., A&A 466,11,2007)

stretch-luminosity parameter

color-luminosity parameter

ApJS 192, 1 (2011)

Supernova Constraints and Systematic Uncertainties from the First 3 Years of the Supernova Legacy Survey

A. Conley et. al.

The possible evolution of α and β

• For the Pan-STARRS1 data Scolnic et. al., arXiv:1310.3824

• For the Union2.1 data Mohlabeng and Ralston, MNRAS 439, L16 (2014)

Shuang Wang, and Yun Wang

Phys. Rev. D 88, 043511 (2013)

Exploring the Systematic Uncertainties of Type Ia Supernovae as Cosmological Probes

Previous Works

For the SNLS3 data

Current Works

Phys. Rev. D 89, 063524 (2014)

Exploring the evolution of color-luminosity parameter β and its effects on parameter estimation

Shuang Wang, Yun-He Li, and Xin Zhang

ΛCDM model, wCDM model, CPL model

Fitting Results

Shuang Wang, Jia-Jia Geng, Yi-Liang Hu, and Xin Zhang

arXiv:1312.0184

Revisit of SNLS3 constraints on holographic dark energy: the effects of varying β and different light-curve fitters

Summary

• For all the models, adding a parameter of β can reduce the best-fit values of chi^2 by 36

• β deviates from a constant at 6σ CL• A time-varying β has significant effect on param

eter estimation• Considering the evolution of β is very helpful for

reducing the tension between supernova and other observations

• Open questions: other systematic uncertainties? How to deal with them?